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type fuzzy 1 sets

From interval valued data to general type 2 fuzzy sets

From interval valued data to general type 2 fuzzy sets

... using Fuzzy Sets ...using type-1, interval type-2, or general type-2 FSs based on ...of type-2 FSs, thus provid- ing a clear representation and separation of these ...

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Type-2 Fuzzy Sets Applied to Geodemographic Classification

Type-2 Fuzzy Sets Applied to Geodemographic Classification

... of fuzzy sets as originally specified by Zadeh (1965); characterised by crisp membership functions (Mendel and John, ...define fuzzy sets with fuzzy membership functions (Mendel and ...

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Extension of TOPICS for group DM based on the type two fuzzy positive and negative ideal solutions

Extension of TOPICS for group DM based on the type two fuzzy positive and negative ideal solutions

... Table 1 shows the linguistic terms ”Very Low” (VL), ”low” (L), ” Medium Low” (ML), ”Medium” (M), ”Medium High” (MH),”High” (H), ”Very High” (VH), and their corresponding type-1 fuzzy ...

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New Operations over Interval Value Intuitionistic Fuzzy Sets of Cube Root Type

New Operations over Interval Value Intuitionistic Fuzzy Sets of Cube Root Type

... 1965, Fuzzy sets theory was proposed by ...intuitionistic fuzzy sets (IFSs), as a generalization of fuzzy set were introduced by ...Intuitionistic Fuzzy Sets which is a ...

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Adaptive Interval Type-2 Fuzzy Inference System for Facial Expression Recognition

Adaptive Interval Type-2 Fuzzy Inference System for Facial Expression Recognition

... on type-1 fuzzy systems ...in fuzzy sets ...in fuzzy rules may have different mean- ings for various people in facial expression recognition ...certainties, type-2 ...

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Interval type 2 fuzzy sets in supplier selection

Interval type 2 fuzzy sets in supplier selection

... of fuzzy sets in both type-1 and interval type-2 membership ...interval type- 2 fuzzy sets are capable of handling linguistic uncertainty better than ...

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Type 2 fuzzy elliptic membership functions for modeling uncertainty

Type 2 fuzzy elliptic membership functions for modeling uncertainty

... [1]. Fuzzy logic owes its exceptional scientific reputation to its unique ability to simultaneously deal with uncertainties in the system and use the expert knowledge as an input to the fuzzy system ...

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Type – 2 Fuzzy Soft Sets and Decision Making

Type – 2 Fuzzy Soft Sets and Decision Making

... The characteristic function  A of a crisp set A⊆X assigns a value either 0 or 1 to each member in X. This function can be generalized to a function  A such that the value assigned to the elements of the ...

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Exploring Constrained Type 2 fuzzy sets

Exploring Constrained Type 2 fuzzy sets

... a Type-1 (T1) set, i.e. ‘standard’ fuzzy logic, is ...T1 fuzzy logic is very ...introduced Type-2 (extendable to Type-n) fuzzy ...in Type-2 FSMs, the membership ...

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A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*

A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*

... integrated fuzzy multi-criteria evaluation fremework SSS in the context of ...Then, fuzzy TOPSIS method is performed to rank potential suppliers both type-1 fuzzy sets and ...

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Online Full Text

Online Full Text

... than type-1 ones. The major difference being the present of type-2 is their antecedent and consequent ...than type-1 fuzzy logic systems (T1FLSs) on the applications of function ...

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Anti-type of Hesitant Fuzzy Sets on UP-algebras

Anti-type of Hesitant Fuzzy Sets on UP-algebras

... P([0, 1]), a nonempty subset U + (H; ε) of A is a strongly UP-ideal of A, then H is an anti-hesitant fuzzy strongly UP-ideal of ...anti-hesitant fuzzy strongly UP-ideal of ...hesitant fuzzy ...

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Type 2 fuzzy alpha cuts

Type 2 fuzzy alpha cuts

... Type-2 fuzzy logic systems make use of type-2 fuzzy ...useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these ...However, ...

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Automatic Image Segmentation using Ultra Fuzziness

Automatic Image Segmentation using Ultra Fuzziness

... as type I fuzzy sets, automatically the ultrafuzziness also tend to ...a type II fuzzy set, the ultrafuzziness is defined as γ for a M x N image subset Ã⊆ X with gray levels g ⊆ ...

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SyFSeL: generating synthetic fuzzy sets made simple

SyFSeL: generating synthetic fuzzy sets made simple

... synthetic fuzzy sets with specified characteristics (including parametric, non- parametric) and fuzzy set type (type-1, interval/general-type- ...generated fuzzy ...

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Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets

Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets

... about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the ...

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A comparative study of Level II fuzzy sets and Type II fuzzy sets

A comparative study of Level II fuzzy sets and Type II fuzzy sets

... all fuzzy subsets of X whose outer layer membership is nonzero while  T : X    O , 1 is called inner layer ...II fuzzy set can be treated as function from sets of fuzzy sets ...

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On Fuzzy e^*-Open Sets and Fuzzy (D,S)^*-Sets

On Fuzzy e^*-Open Sets and Fuzzy (D,S)^*-Sets

... of fuzzy sets and some new classes of fuzzy continuity namely fuzzy e ∗ -open sets, fuzzy (, S)-sets, fuzzy (S, ε )-sets, fuzzy (, S) ∗ -sets, ...

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Vol 9, No 4 (2018)

Vol 9, No 4 (2018)

... combined fuzzy sets with soft sets and introduced the idea of fuzzy soft sets along with some properties regarding fuzzy soft sets union, intersection, the complement of a ...

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On characterization of fuzzy η-continuous functions where η∈ {α, p, q, semi, pre, β, strongly pre}

On characterization of fuzzy η-continuous functions where η∈ {α, p, q, semi, pre, β, strongly pre}

... The concepts that are needed in this paper are discussed in the second section. The third section is devoted to applications of C-fuzzy α-open, C-fuzzy semi-open, C-fuzzy pre-open, C-fuzzy ...

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